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Prairielearn Tools for Canvas Migration, Question Bank, and Autotest

Tuesday, December 3, 2024 - 11:00 to 12:00
Vincent Liu, Postdoctoral Research and Teaching Fellow, UBC Master of Data Science
Statistics Seminar
ESB 4192 / Zoom

To join this seminar virtually: Please request Zoom connection details from ea [at] stat.ubc.ca.

Abstract: In this talk, I will introduce PrairieLearn, an open-source platform designed for creating assessments with powerful randomization and autograding features. I will highlight why PrairieLearn is an ideal choice for courses in computer science, data science, and statistics. Additionally, I will demonstrate our tools for migrating questions from Canvas, building question banks, and generating test files for coding questions—offering practical advice for transitioning to PrairieLearn. Finally, I will provide a brief tutorial on creating assessments and questions using R or Python.